Ty Pinkins for Mississippi US Inactive
TY PINKINS FOR CONGRESS
Ad copy
Hey everyone! 📣 Mark your calendars for April 29th and join us for a kickoff meet & greet event in Yazoo City - the "Gateway to the Delta" - where you'll have the opportunity to meet and hear from candidates running to represent you on the local, state, and federal level! 🇺🇸 We've got an amazing lineup of special guests, including Ty Pinkins, candidate for U.S. Senate; Greta Kemp Martin, who is running for Attorney General; Shawaski Young, candidate for Secretary of State; and De'Keither Stamps, who is running for Mississippi Public Service Commissioner. 🎉 Don't miss out on this chance to connect with the people who could shape the future of Mississippi. See you there! 👋 #YazooCounty #MeetTheCandidates #TyPinkinsforUSSenate #OneMississippi
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 27.5/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 43.0 · 1.9 · 65.1 |
| Spend range | <USD 99 |
| Impressions | 3,000 – 3,999 |
| CPM (≈ $/1k impr) | USD 14.14 |
| Est. audience size | 10,001 – 50,000 |
| Days live | 8 (2023-04-20 → 2023-04-28) |
| Created | 2023-04-20 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | MS — Ty Pinkins |
| Surfaced by | “senate:Ty Pinkins” |
🧠 AI analysis
| Issue | democracy elections |
| Framing | positive candidate |
| Message type | awareness |
| Emotional appeal | pride |
| Production tier | semi pro |
| Who pictured | candidate, diverse crowd |
| Symbols | us flag, family |
| Call to action | none |
| Standout element | Illustrated portraits of four diverse candidates grouped together beneath a patriotic American flag backdrop |
| Tactic | Community mobilization tactic using a local candidate forum to build grassroots visibility and voter engagement across multiple Democratic candidates simultaneously. |
Where it ran (delivery by region)
| Mississippi | 100.0% |
Who saw it (delivery)
| 18-24 · unknown | 0.2% |
| 65+ · female | 11.2% |
| 25-34 · male | 6.6% |
| 35-44 · female | 8.0% |
| 25-34 · female | 6.4% |
| 45-54 · male | 4.3% |
| 18-24 · female | 22.6% |
| 55-64 · female | 10.6% |
| 45-54 · female | 9.8% |
| 65+ · male | 4.0% |
| 18-24 · male | 9.3% |
| 55-64 · male | 2.1% |
| 35-44 · male | 4.6% |
| 35-44 · unknown | 0.3% |
